<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0121-750X</journal-id>
<journal-title><![CDATA[Ingeniería]]></journal-title>
<abbrev-journal-title><![CDATA[ing.]]></abbrev-journal-title>
<issn>0121-750X</issn>
<publisher>
<publisher-name><![CDATA[Universidad Distrital Francisco José de Caldas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0121-750X2021000300381</article-id>
<article-id pub-id-type="doi">10.14483/23448393.17960</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Characterization of Traffic for Live Video Streaming Services on DASH in 4G Networks Based on Syntactic Analyzers]]></article-title>
<article-title xml:lang="es"><![CDATA[Caracterización de tráfico para el servicio de Video Streaming en vivo sobre DASH en redes 4G basado en analizadores sintácticos]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bermúdez Orozco]]></surname>
<given-names><![CDATA[Héctor Fabio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Campo Muñoz]]></surname>
<given-names><![CDATA[Wilmar Yesid]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Astaiza Hoyos]]></surname>
<given-names><![CDATA[Evelio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Quindío  ]]></institution>
<addr-line><![CDATA[Armenia ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Quindío  ]]></institution>
<addr-line><![CDATA[Armenia ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad del Quindío  ]]></institution>
<addr-line><![CDATA[Armenia ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>26</volume>
<numero>3</numero>
<fpage>381</fpage>
<lpage>400</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0121-750X2021000300381&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0121-750X2021000300381&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0121-750X2021000300381&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Context:  Mobile data traffic generated by video services increases daily. To address this situation, telecommunication service providers must know the behavior of video traffic and thus adjust network resources to meet and maintain the quality levels required by users. Traffic characterization studies in 4G networks for Live Video Streaming (LVS) services are scarce, and those available are obtained from simulation scenarios in which the real operating conditions of these types of networks are not considered.  Method:  This work focuses on finding a model that characterizes traffic from the probability density functions of LVS services under the adaptive streaming DASH technique in LTE networks. The traces analyzed to carry out the modeling study were acquired in real emulation scenarios considering the operating conditions frequently presented in the actual provision of the service, for which five test scenarios were defined.  Results:  Based on the parameterization of a number of probability density functions found, a description of different traffic models of the service under study is presented, as well as for each of the pre-established test scenarios in a 4G-LTE network.  Conclusions:  From the results, it is concluded that the traffic model depends on the conditions of each scenario, and that there is no single model that describes the general behavior of LVS services under the adaptive streaming DASH technique in an emulated LTE network.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Contexto:  El tráfico de datos móviles generado por los servicios de video aumenta a diario. Para enfrentar dicha situación, los proveedores de servicios de telecomunicaciones deben conocer el comportamiento del tráfico de video y así ajustar los recursos de la red que permitan satisfacer y mantener los niveles de calidad requeridos por los usuarios. Los estudios de caracterización de tráfico en redes 4G para el servicio Live Video Streaming (LVS) son escasos y los disponibles son obtenidos a partir de escenarios de simulación en los cuales no se consideran las condiciones reales de funcionamiento de este tipo de redes.  Método:  Este trabajo se centra en encontrar un modelado que caracterice el tráfico a partir de las funciones de densidad de probabilidad del servicio LVS bajo la técnica de streaming adaptativo DASH en redes LTE. Las trazas analizadas para realizar el estudio del modelado fueron adquiridas en escenarios reales de emulación considerando las condiciones de funcionamiento frecuentemente presentadas en la prestación real del servicio, para lo cual se definieron cinco escenarios de prueba.  Resultados:  Se presenta la descripción, a partir de la parametrización de algunas funciones de densidad de probabilidad encontradas, de diferentes modelos de tráfico del servicio bajo estudio y para cada uno de los escenarios de prueba preestablecidos en una red 4G-LTE.  Conclusiones:  A partir de los resultados, se concluye que el modelo de tráfico depende de las condiciones de cada escenario y que no existe un modelo único que describa el comportamiento general del servicio LVS bajo la técnica de streaming adaptativo DASH en una la red LTE emulada.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[LTE]]></kwd>
<kwd lng="en"><![CDATA[probability density function]]></kwd>
<kwd lng="en"><![CDATA[live video streaming]]></kwd>
<kwd lng="en"><![CDATA[traffic model.]]></kwd>
<kwd lng="es"><![CDATA[LTE]]></kwd>
<kwd lng="es"><![CDATA[función de densidad de probabilidad]]></kwd>
<kwd lng="es"><![CDATA[video streaming en vivo]]></kwd>
<kwd lng="es"><![CDATA[modelo de tráfico.]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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